Computational Analysis of Big DataSemester Course

Computational Analysis of Big Data, elective course at DIS Copenhagen
Major Discipline(s)
Computer Science, Information Science, Mathematics
Type
Elective Course
Available
Fall/Spring semester
Credit(s)
3

Walmart started using big data even before the term became recognized. Today, industries, governments, social media platforms, finance, and organizations alike use data and analytics to predict future needs to optimize sales, minimize cost, and maximize reach. With a hands-on approach and by working with problem-solving exercises that focus on practical implementations, this course introduces you to a large set of computational tools and techniques for dealing with large-scale data.

Related Discipline(s)

This course would also be of interest to the following discipline(s):
Information Science

Faculty

Lucian Leahu

DIS Copenhagen Semester Faculty

Ph.D. in Computer Science, Cornell University (2012). Previous experience as Assistant Professor at ITU Copenhagen (2015-2018), ERCIM Postdoctoral Fellow at the Swedish Institute of Computer Science (2012-2013),an and Project Leader in the Media Technology and Interaction Design Department at the Royal Institute of Technology (2014). With DIS since 2019.

Panagiota Katsikouli

DIS Copenhagen Semester Faculty

Ph.D. in Informatics, University of Edinburgh (2018). Currently lecturing as Faculty Member at the Open Institute of Technology (2023-present) and involved in Teaching and Research at the University of Copenhagen (2020–present). Previous experience as post-doctoral Researcher at the Technical University of Denmark (2019-2020), University College of Dublin (2019), and INRIA Lyon (2018-2019). Teaching and Research. With DIS since 2023.

Anders Madsen

DIS Copenhagen Semester Faculty

M.Sc. in Engineering, Technical University of Denmark (2022–⁠present). B.S. in Engineering, Technical University of Denmark (2022). Currently studying deep learning transformer models as Researcher at Danish Pioneer Centre for Artificial Intelligence (2022–present) and developing a pipeline to capture and examine EEG data as Student Developer at BrainCapture (2021–⁠present). Also serving as Board Member at Copenhagen MedTech, an organization of medical and data science students (2022–present). With DIS since 2024.

William Lehn-Schiøler

DIS Copenhagen Semester Faculty

M.Sc. in Mathematical Modelling and Computing, Techincal University of Denmark (2024). B.Sc. in Artificial Intelligence and Data Science, Technical University of Denmark (2022). Currently working as Student Data Scientist at BrainCapture (2021–present), Chairman of the Board at Copenhagen MedTech (2022–present), and Teaching Assistant at DTU Compute (2022–present). With DIS since 2024.